Why Real Press Exists

The Recipe That Started It All

It started with a bad recipe. I was searching for a chicken tikka masala recipe — something tried and tested by a human who actually cooked it, tasted it, and adjusted the spices. Instead, I got a page that was clearly generated by AI. The ingredients didn't make sense together. The photos were AI-generated too — you could tell from the weird lighting and that uncanny smoothness.

That's annoying when it's a recipe. But it's dangerous when it's a news article, a product review, or medical information. How are we supposed to know what's real anymore?

What Real Press Does

Real Press is a search engine where every result comes with a score — a classification from Human to AI. We run content through multiple independent detection systems to combine their signals into a single rating. There's a badge on every result so you can see it's been verified.

We analyze both text and images because AI content is multi-modal now. A generated article might have a human-written headline but AI-generated body text. An e-commerce listing might have real product descriptions but AI-generated photos. We try to catch all of it.

Why Independence Matters

Real Press is self-funded. That's on purpose. It means nobody can tell us to go easy on a company, change a score, or look the other way. The big AI companies can't be trusted to check their own work — that's like asking the fox to guard the henhouse.

We don't take VC money. We don't sell your data. We don't do advertising. We make money from subscriptions — you pay us to be accurate and honest, and that's the only incentive we need.

Why Transparency

If we're going to ask you to trust our scores, we need to earn that trust. That means showing you our real numbers — even when they're small. It means letting you flag scores you disagree with. It means publishing quarterly transparency reports that show exactly how we're doing.

We also show you why we scored something the way we did. Paid users can see the full breakdown — which detection engines contributed, where they agreed, and where they didn't. If we change how scores are calculated, we document it and show you the history.

Where We Are

We're very early. It's a small team against an impossibly large problem. We've indexed about a thousand articles so far, and we're working to scale to the useful web.

Our detection isn't perfect — it never will be, because this is fundamentally an adversarial problem. But we're doing everything we can to bring you transparency at scale, and we'll be honest about our accuracy along the way.

Thank you for being here this early. It means a lot.